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Petroleum Research 2024年第1期9卷 61-71页

作者： Aymen A.Lazim Maher J.ismail Maher M.Mahdi Geoscience Department Zubair Field Operation DivisionBasra Oil CompanyIraq Basrah Oil Company WQ1 FODBasrahIraq University of Basrah College of ScienceGeology Dept.BasrahIraq

The Mishrif Formation(Cenomanian-E Turonian)is one of the most important geological formations in the Middle East and Iraq because it contains enormous petroleum *** is considered to be the first reservoir in the region,and is still being studied because of its economic *** carbonate of the Mishrif Formation derives from a variety of depositional settings,including mid-ramp,shoal,lagoon,and *** five main microfacies discussed in this paper are wackestone,packstone,grainstone,floatstone,and *** most frequent fossilised components found in the Mishrif Formation are rudists,benthic foraminifera,echinoderms,burrows molluscs,and *** to the microfacies and analysed wireline log data,the sequence stratigraphy of the studied formation is composed of two regression *** parasequences of transgressive-regressive cycles make up the depositional sequence of the Mishrif *** standard depositional environments seem to demonstrate a gradual regression,beginning with a short period of the outer ramp,then a steady period of the mid-ramp,and ending in the intertidal ***,the study recorded two regional maximum flooding surfaces:K-135 and *** former is present in the lowermost part of the formation,while the other lies in the *** study shows a close relationship between facies(environments)and hydrocarbon *** increased accumulation focuses on the lower part of the studied formation,and seems to be lower in the upper part of the formation as a result of changes in the environment of deposition.

关键词： Mishrif formation Cenomanian Sequence stratigraphy Zubair oilfield Iraq

Unknown Environment Measurement Mapping by Unmanned Aerial Vehicle Using Kalman Filter-Based Low-Cost Estimated Parallel 8-Beam LIDAR

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Computers, Materials & Continua 2024年第9期80卷 4263-4279页

作者： Mohamed Rabik Mohamed ismail Muthuramalingam Thangaraj Khaja Moiduddin Zeyad Almutairi Mustufa haider Abidi Department of Mechatronics Engineering SRM Institute of Science and TechnologySRM NagarKattankulathurChengalpattu DistrictTamil Nadu603203India Advanced Manufacturing Institute King Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia

The measurement and mapping of objects in the outer environment have traditionally been conducted using ground-based monitoring systems,as well as *** recently,unmanned aerial vehicles have also been employed for this *** accurate detection and mapping of a target such as buildings,trees,and terrains are of utmost importance in various applications of unmanned aerial vehicles(UAVs),including search and rescue operations,object transportation,object detection,inspection tasks,and mapping ***,the rapid measurement and mapping of the object are not currently achievable due to factors such as the object’s size,the intricate nature of the sites,and the complexity of mapping *** present system introduces a costeffective solution for measurement and mapping by utilizing a small unmanned aerial vehicle(UAV)equipped with an 8-beam Light Detection and Ranging(LiDAR)*** approach offers advantages over traditional methods that rely on expensive cameras and complex algorithm-based *** reflective properties of laser beams have also been *** system provides prompt results in comparison to traditional camerabased surveillance,with minimal latency and the need for complex *** Kalman estimation method demonstrates improved performance in the presence of *** measurement and mapping of external objects have been successfully conducted at varying distances,utilizing different resolutions.

关键词： 8 beam LiDAR UAV measurement mapping Kalman filter

A Novel Deep Learning-Based Model for Classification of Wheat Gene Expression

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Computer Systems Science & Engineering 2024年第2期48卷 273-285页

作者： Amr ismail Walidhamdy Aya MAl-Zoghby Wael AAwad Ahmed ismail Ebada Yunyoung Nam Byeong-Gwon Kang Mohamed Abouhawwash Faculty of Science Port Said UniversityPort SaidEgypt Modern Academy for Computer Science and Management Technology Cairo11742Egypt Faculty of Computers and Artificial Intelligence Damietta UniversityNew DamiettaEgypt Department of ICT Convergence Soonchunhyang UniversityAsan31538South Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Deep learning(DL)plays a critical role in processing and converting data into knowledge and *** technologies have been applied in a variety of applications,including image,video,and genome sequence *** deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised *** comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene *** is an essential crop of cereals for people around the *** Genotypes identification has an impact on the possible development of many countries in the agricultural *** quantitative genetics prediction of genetic values is a central *** is an allohexaploid(AABBDD)with three distinct *** sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are *** paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current *** this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN).

关键词： Gene expression convolutional neural network optimization algorithm genomic prediction wheat

Protection of steel hooks embedded in glass-fiber-reinforced concrete against macrocell corrosion

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Petroleum Research 2024年第2期9卷 317-326页

作者： husnu Gerengi Muhammed Maraşlı Marziya Rizvi Beni Kohen ismail Taşkıran Corrosion Research Laboratory Department of Mechanical EngineeringDuzce University81620DuzceTurkey Department of Engineering and Applied Sciences University of BergamoBGItaly Fibrobeton Company R&D Center DuzceTurkey Department of Chemistry Babasaheb Bhimrao Ambedkar UniversityLucknow226003U.PIndia

This study evaluated the corrosion behavior of steel hooks embedded in GFRC,which were protected by a zinc-rich(96%Zn)galvanizing *** coating provided the hooks with active cathodic protection and a passive physical *** corrosion may form when the anode is smaller than the total steel ***,the steel hooks at the embedment juncture were additionally sealed against water ingress and air exchange using a construction *** study was conducted in three phases in a salt-spray ***,the electrogalvanized steel hooks embedded in GFRC were allowed to freely corrode for 7 *** the second phase,the electrogalvanized steel hooks were painted with the zinc-rich coating and observed over 7 *** the third phase,the steel hooks were protected by the zinc-rich coating together with a primer and construction sealant,and observed over 7 *** evaluate the electrogalvanized hooks and the corrosion products formed,the thickness of the material was *** on the metal surface was inferred by studying the surface morphology of the hooks at various points of contact and after different periods of time.

关键词： Steel rebars Concrete corrosion GFRC Galvanization Sealant

A comprehensive review of radiation effects on solder alloys and solder joints

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Defence Technology（防务技术） 2024年第9期39卷 86-102页

作者： Norliza ismail Wan Yusmawati Wan Yusoff Nor Azlian Abdul Manaf Azuraida Amat Nurazlin Ahmad Emee Marina Salleh Department of Physics Centre for Defence Foundation StudiesUniversiti Pertahanan Nasional MalaysiaKem Sungai BesiKuala Lumpur 57000Malaysia Department of Mineral and Geoscience Malaysia Mineral Research CentreJalan Sultan Azlan ShahIpoh 31400PerakMalaysia

In the realm of military and defence applications, exposure to radiation significantly challenges the performance and reliability of solder alloys and joints in electronic systems. This comprehensive review examines radiation-induced effects on solder alloys and solder joints in terms of microstructure and mechanical properties. In this paper, we evaluate the existing literature, including experimental studies and fundamental theory, to provide a comprehensive overview of the behavior of solder materials under radiation. A review of the literature highlights key mechanisms that contribute to radiation-induced changes in the microstructure, such as the formation of intermetallic compounds, grain growth,micro-voids and micro-cracks. Radiation is explored as a factor influencing solder alloy hardness,strength, fatigue and ductility. Moreover, the review addresses the challenges and limitations inherent in studying the effects of radiation on solder materials and offers recommendations for future research. It is crucial to understand radiation-induced effects on solder performance to design robust and radiationresistant electronic systems. A review of radiation effects on solder materials and their applications in electronics serves as a valuable resource for researchers, engineers, and practitioners in that field.

关键词： Defence technology Solder alloy Solder joints Radiation-induced effect Microstructure Mechanical properties

Understanding Osteoporosis: Pathophysiology, Risk Factors, Diagnosis, and Management

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Advances in Aging Research 2024年第3期13卷 25-40页

作者： Mahmoud ismail Division of Geriatrics University at Buffalo Buffalo NY USA

Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and deterioration of bone architecture, resulting in reduced bone strength and, consequently, increased susceptibility to fractures which poses a significant public health concern worldwide, particularly in aging populations [1]. The health-economic impact of vertebral and hip fractures has been extensively explored and it is well known that these fractures are associated with morbidity/disability and increased mortality;they also account for a substantial portion of the direct fracture costs. This review aims to provide a comprehensive overview of osteoporosis, including its pathophysiology, risk factors, diagnostic approaches, and management strategies. By elucidating the multifaceted nature of this condition, healthcare providers can better identify individuals at risk, implement preventive measures, and optimize treatment to reduce the burden of osteoporotic fractures.

关键词： Osteoporosis Bone Mineral Density Fractures Risk Factors Diagnosis Management FRAX (Fracture Risk Assessment Tool) Trabecular Bone Score (TBS)

Inclusion of CoTiO_(3) to ameliorate the re/dehydrogenation properties of the Mg–Na–Al system

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Journal of Magnesium and Alloys 2024年第3期12卷 1215-1226页

作者： N.A.Ali N.Y.Yusnizam N.A.Sazelee Sami-ullah Rather haizhen Liu M.ismail Energy Storage Research Group Faculty of Ocean Engineering TechnologyUniversiti Malaysia Terengganu21030 Kuala NerusTerengganuMalaysia Department of Chemical and Materials Engineering King Abdulaziz UniversityP.O.Box80204Jeddah 21589Saudi Arabia Guangxi Novel Battery Materials Research Center of Engineering Technology School of Physical Science and TechnologyGuangxi UniversityNanning 530004China State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures Nanning 530004China

For the first time,the Mgh_(2)–NaAlh_(4)(ratio 4:1)destabilized system with CoTiO_(3) addition has been *** CoTiO_(3)-doped Mgh_(2)–NaAlh_(4) sample begins to dehydrogenate at 130℃,which is declined by 40℃ compared to the undoped Mgh_(2)–NaAlh_(4).Moreover,the de/rehydrogenation kinetics characteristics of the CoTiO_(3)-doped Mgh_(2)–NaAlh_(4) were greatly *** the inclusion of CoTiO_(3),the Mgh_(2)–NaAlh_(4) composite absorbed 5.2 wt.%h_(2),higher than undoped Mgh_(2)–NaAlh_(4).In the context of dehydrogenation,the CoTiO_(3)-doped Mgh_(2)–NaAlh_(4) sample desorbed 2.6 wt.%h_(2),almost doubled compared to the amount of hydrogen desorbed from the undoped Mgh_(2)–NaAlh_(4) *** activation energy obtained by the Kissinger analysis for Mgh_(2) decomposition was significantly lower by 35.9 kJ/mol than the undoped Mgh_(2)–NaAlh_(4) *** reaction mechanism demonstrated that new phases of MgCo and AlTi_(3) were generated in situ during the heating process and are likely to play a substantial catalytic function and be useful in ameliorating the de/rehydrogenation properties of the destabilized Mgh_(2)–NaAlh_(4) system with the inclusion of CoTiO_(3).

关键词： Destabilize system Magnesium hydride Sodium alanate hydrogen storage Additive.

3D electromagnetic modelling for high-temperature superconducting dynamo flux pumps using T-A formulation

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high Voltage 2024年第2期9卷 367-379页

作者： Luning hao Fangliang Dong Jintao hu Qi Wang haigening Wei ismail Patel Adil Shah Yuyang Wu Tim Coombs Department of Engineering University of CambridgeCambridgeUK Plasma Science and Fusion Center Massachusetts Institute of TechnologyCambridgeMassachusettsUSA

A high-temperature superconducting(hTS)dynamo flux pump can inject DC currents into closed-loop hTS magnets without *** enables the realisation of current-lead-free or even through-wall charging systems for high-field applications such as nuclear magnetic resonance/magnetic resonance imaging(MRI)magnets,fusion reactors and *** have proposed many simulation models to understand the working principle of hTS dynamos,few of which are in 3D because of converging ***,the influences of many key 3D parameters in the hTS dynamo are scarcely *** authors propose an efficient 3D modelling method of the hTS dynamo based on the T-A *** rotating magnets are modelled by a ring-shaped permanent magnet with space-time-variant remanent flux density to avoid moving ***,together with the T-A formulation,makes the 3D model efficient and *** accuracy of the model is verified by the experimental instantaneous and time-integrated dynamic *** this model,the authors present systematic case studies to thoroughly explore the influences of the key parameters of a dynamo flux pump on the dynamic voltage and *** proposed modelling method and results could significantly benefit the design and optimisation of hTS dynamos for high-field magnets.

关键词： formulation magnets pump

Developing Lexicons for Enhanced Sentiment Analysis in Software Engineering:An Innovative Multilingual Approach for Social Media Reviews

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Computers, Materials & Continua 2024年第5期79卷 2771-2793页

作者： Zohaib Ahmad Khan Yuanqing Xia Ahmed Khan Muhammad Sadiq Mahmood Alam Fuad AAwwad Emad A.A.ismail School of Automation Beijing Institute of TechnologyBeijing100081China Department of Computer Science and Technology University of Science and Technology BannuKPKBannu28100Pakistan School of Computer Science and Engineering Central South UniversityChangsha410083China Department of Quantitative Analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia

Sentiment analysis is becoming increasingly important in today’s digital age, with social media being a significantsource of user-generated content. The development of sentiment lexicons that can support languages other thanEnglish is a challenging task, especially for analyzing sentiment analysis in social media reviews. Most existingsentiment analysis systems focus on English, leaving a significant research gap in other languages due to limitedresources and tools. This research aims to address this gap by building a sentiment lexicon for local languages,which is then used with a machine learning algorithm for efficient sentiment analysis. In the first step, a lexiconis developed that includes five languages: Urdu, Roman Urdu, Pashto, Roman Pashto, and English. The sentimentscores from SentiWordNet are associated with each word in the lexicon to produce an effective sentiment score. Inthe second step, a naive Bayesian algorithm is applied to the developed lexicon for efficient sentiment analysis ofRoman Pashto. Both the sentiment lexicon and sentiment analysis steps were evaluated using information retrievalmetrics, with an accuracy score of 0.89 for the sentiment lexicon and 0.83 for the sentiment analysis. The resultsshowcase the potential for improving software engineering tasks related to user feedback analysis and productdevelopment.

关键词： Emotional assessment regional dialects SentiWordNet naive bayesian technique lexicons software engineering user feedback

Posture Detection of heart Disease Using Multi-head Attention Vision hybrid(MhAVh)Model

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Computers, Materials & Continua 2024年第5期79卷 2673-2696页

作者： hina Naz Zuping Zhang Mohammed Al-habib Fuad A.Awwad Emad A.A.ismail Zaid Ali Khan School of Computer Science and Engineering Central South UniversityChangsha410003China Department of Quantitative analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia Electrical and Computer Engineering University of VictoriaVictoriaV9A1B8Canada

Cardiovascular disease is the leading cause of death *** disease causes loss of heart muscles and is also responsible for the death of heart cells,sometimes damaging their functionality.A person’s life may depend on receiving timely assistance as soon as ***,minimizing the death ratio can be achieved by early detection of heart attack(hA)*** the United States alone,an estimated 610,000 people die fromheart attacks each year,accounting for one in every four ***,by identifying and reporting heart attack symptoms early on,it is possible to reduce damage and save many lives *** objective is to devise an algorithm aimed at helping individuals,particularly elderly individuals living independently,to safeguard their *** address these challenges,we employ deep learning *** have utilized a vision transformer(ViT)to address this ***,it has a significant overhead cost due to its memory consumption and computational complexity because of scaling dot-product ***,since transformer performance typically relies on large-scale or adequate data,adapting ViT for smaller datasets is more *** response,we propose a three-in-one steam model,theMulti-head Attention Vision hybrid(MhAVh).Thismodel integrates a real-time posture recognition framework to identify chest pain postures indicative of heart attacks using transfer learning techniques,such as ResNet-50 and VGG-16,renowned for their robust feature extraction *** incorporatingmultiple heads into the vision transformer to generate additional metrics and enhance heart-detection capabilities,we leverage a 2019 posture-based dataset comprising RGB images,a novel creation by the author that marks the first dataset tailored for posture-based heart attack *** the limited online data availability,we segmented this dataset into gender categories(male and female)and conducted testing on both segmented and original dat

关键词： Image analysis posture of heart attack(PhA)detection hybrid features VGG-16 ResNet-50 vision transformer advance multi-head attention layer